一类扩展Fisher判别准则的递归优化

Proceedings of Third International Conference on Electronics, Circuits, and Systems Pub Date : 1996-10-13 DOI:10.1109/ICECS.1996.584460

M. Aladjem

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引用次数: 0

摘要

提出了一种扩展Fisher (ExF)判别准则的递归优化方法。该方法首先获得一个优化ExF准则的判别方向，将沿该方向的数据转换为类重叠较大的数据，然后迭代得到下一个判别方向。对医学数据集的应用表明了所提出的方法在寻找具有显著类分离的倾斜方向序列方面的潜力。

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Recursive optimization of an extended Fisher discriminant criterion

A method for recursive optimization of an extended Fisher (ExF) discriminant criterion is proposed. The method consists of obtaining a discriminant direction which optimizes the ExF criterion, transforming the data along it into data with greater class overlap, and iterating to obtain the next discriminant direction. An application to a medical dataset indicates the potential of the proposed method for finding a sequence of oblique directions with significant class separation.

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Proceedings of Third International Conference on Electronics, Circuits, and Systems

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